Data Mining Tool for Decision Support in Stock Market

Sung-Dong Kim

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Paper

Data Mining Tool for Decision Support in Stock Market

Topics: Data Mining; Hybrid Intelligent Systems

In Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, 473-477, 2013 , Barcelona, Spain

Author: Sung-Dong Kim

Affiliation: Hansung University, Korea, Republic of

Keyword(s): Data Mining, Decision Support System, Stock Price Prediction, Neural Networks, Decision Trees.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Hybrid Intelligent Systems ; Sensor Networks ; Signal Processing ; Soft Computing

Abstract: Stock investors want to make continuous profits in stock market. They have to choose profitable stocks and to follow the appropriate trading policy to achieve their goal. It is difficult for individual investors to determine what to buy and when to buy and sell. This paper proposes a data mining tool for stock investors’ decision support by recommending profitable stocks and proposing the trading policy. The proposed tool provides three functions: stock data management, stock price prediction model generation by applying the machine learning algorithms and the investment simulation for seeking the profitable trading policy. Users can generate and test the stock price prediction model by selecting their own technical indicators, simulate the trading and select the best trading policy through the evaluation of the trading results.

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Paper citation in several formats:

Kim, S. (2013). Data Mining Tool for Decision Support in Stock Market. In Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-8565-39-6; ISSN 2184-433X, SciTePress, pages 473-477. DOI: 10.5220/0004240804730477

@conference{icaart13,
author={Sung{-}Dong Kim.},
title={Data Mining Tool for Decision Support in Stock Market},
booktitle={Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2013},
pages={473-477},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004240804730477},
isbn={978-989-8565-39-6},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - Data Mining Tool for Decision Support in Stock Market
SN - 978-989-8565-39-6
IS - 2184-433X
AU - Kim, S.
PY - 2013
SP - 473
EP - 477
DO - 10.5220/0004240804730477
PB - SciTePress